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Applied AI Scientist

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Onsite

Applied AI Scientist

Aqemia

Applied AI Scientist

Skills

PythonPyTorchTensorFlowMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Paris, France

Work mode:

Onsite

Published on:

4 September 2026

What they need


  • We are looking for an Applied AI Research Scientist to join Aqemia’s Drug Discovery Platform, working at the intersection of ML and molecular science. You’ll split your time between:
  • 50% Applied AI: Contribute directly to internal and partnered drug discovery programs by applying ML rigorously and efficiently in collaboration with chemists and project teams
  • 50% AI Research: Develop cutting-edge ML models (e.g., GNNs, generative models, physics-informed AI) to predict molecular properties and protein-ligand interactions
  • Applied ML for Discovery Programs (50%)
  • Own ML workstreams: define goals, manage timelines, communicate with stakeholders
  • Process molecular datasets and apply robust ML models (QSAR, regression, ranking)
  • Collaborate with chemists and project leads; deliver results that drive compound prioritisation
  • Make your models and predictions easily accessible to end users ensuring practical usability in drug discovery workflows
  • AI Research & Development (50%)
  • Design and implement novel ML algorithms (DL, GNNs, generative, physics-based models)
  • Take part in cutting-edge research and bibliographic exploration
  • Collaborate with research and drug discovery teams to translate models into actionable insights- Strong experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
  • ~3-5 years of experience applying ML in scientific or industrial settings
  • Solid Python programming skills and experience working with scientific computing libraries
  • Strong problem-solving skills, autonomy and a collaborative mindset
  • MSc or PhD in Computer Science, Machine Learning, Maths, Physics, or related field
  • Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery
  • Humility – Open to feedback and different perspectives, always striving for improvement
  • Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability
  • Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise
  • Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment
  • Experience with bio/health data- Please note that applications for this role will close on July 15, 2026

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